The number of potential triggers for erroneous alarms in the environment is on the rise. Legal requirements for anti-masking technology are becoming stringent in response to tactics by criminals This scenario is by no means an isolated incident, but part of a growing trend. Ultimately, the integrators need to perform extensive detector firmware updates and switch to different sensor architecture to eliminate the error source. Not an easy fix situation, since a new lighting system would prove far too costly. When they finally identify the culprit, it’s unexpected: As it turns out, the recently installed LED lighting system in the museum’s exhibition spaces radiates at a wavelength that triggers anti-masking alarms in the detectors. The system integrators are puzzled and conduct extensive tests of the entire system. But suddenly, the detectors trigger false alarms every night after the museum closes. This article provides a comprehensive overview of Sensor Data Fusion technology.Ī cultural heritage museum in the South of Germany for decades, the installed intrusion alarm system has provided reliable protection on the premises. As a future-proof solution, detectors equipped with Sensor Data Fusion technology raise the level of security while reducing the risk of cost- and time-intensive false alarms. At the same time, alarm systems must comply with increasingly demanding legal requirements for sensors and motion detectors. Intrusion alarm systems are currently facing a growing number of potential error sources in the environment.
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